Quantum Annealing for Clustering

no code implementations • 9 Aug 2014 • Kenichi Kurihara, Shu Tanaka, Seiji Miyashita

This paper studies quantum annealing (QA) for clustering, which can be seen as an extension of simulated annealing (SA).

Clustering

Quantum Annealing for Variational Bayes Inference

no code implementations • 9 Aug 2014 • Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita

This paper presents studies on a deterministic annealing algorithm based on quantum annealing for variational Bayes (QAVB) inference, which can be seen as an extension of the simulated annealing for variational Bayes (SAVB) inference.

Quantum Annealing for Dirichlet Process Mixture Models with Applications to Network Clustering

no code implementations • 19 May 2013 • Issei Sato, Shu Tanaka, Kenichi Kurihara, Seiji Miyashita, Hiroshi Nakagawa

We developed a new quantum annealing (QA) algorithm for Dirichlet process mixture (DPM) models based on the Chinese restaurant process (CRP).

Clustering Stochastic Optimization